Editorial Q1
Artificial intelligence in modeling and simulation
Nuno Fachada (Fachada, N.); Nuno David (David, N.);
Journal Title
Algorithms
Year (definitive publication)
2024
Language
English
Country
Switzerland
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Times Cited: 2

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Times Cited: 4

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Abstract
Modeling and simulation (M&S) serve as essential tools in various scientific and engineering domains, enabling the representation of complex systems and processes without the constraints of physical experimentation [1]. These tools have evolved significantly with the integration of artificial intelligence (AI), which offers advanced capabilities in essential aspects of M&S such as optimization [2,3], data analysis [4,5], and verification and validation [6]. AI’s capacity to enhance M&S is demonstrated in applications ranging from engineering [7] and physics [8,9] to social sciences [10] and biology [11], providing novel approaches to problem-solving and system understanding.
Acknowledgements
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Keywords
  • Mathematics - Natural Sciences
  • Computer and Information Sciences - Natural Sciences
Funding Records
Funding Reference Funding Entity
CEECINST/00002/2021/CP2788/CT0001 Fundação para a Ciência e a Tecnologia
UIDB/04111/2020 Fundação para a Ciência e a Tecnologia